{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["place", "attack pattern", "time", "tool", "attacker", "trusted entity", "damage amount", "victim", "purpose"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerable system owner", "vulnerability", "vulnerable system version", "capabilities", "time", "supported platform"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "tool"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["issues addressed", "vulnerable system", "patch", "time", "common vulnerabilities and exposures", "vulnerable system version", "releaser", "supported platform", "patch number", "vulnerability"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "attacker", "compromised data", "purpose", "time", "place", "number of victim", "tool", "attack pattern", "number of data", "victim"]}], "input": "As a result , in the run - up to it , organisations are sending out messages to customers to gain their consent for remaining on their mailing lists ."}
{"phishing": [{"trigger": "are sending out", "arguments": {"place": "NAN", "attack pattern": "NAN", "time": "NAN", "tool": "messages", "attacker": "organisations", "trusted entity": "NAN", "damage amount": "NAN", "victim": "customers", "purpose": "gain their consent"}}], "discover vulnerability": [], "ransom": [], "patch vulnerability": [], "data breach": []}